World History Ontology for Reasoning Truth/Falsehood of Sentences: Event Classification to Fill in the Gaps Between Knowledge Resources and Natural Language Texts

  • Ai Kawazoe
  • Yusuke Miyao
  • Takuya Matsuzaki
  • Hikaru Yokono
  • Noriko Arai
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8417)

Abstract

This paper introduces a world history ontology that supports reasoning of truth/falsehood of historical descriptions in natural languages. The core of the ontology includes an event classification according to certain basic properties such as necessary/sufficient conditions for the existence of events in the real world. We will discuss how this ontology functions in solving world history problems in Japan’s National Center Test for University Admissions, especially in the reasoning of “falsehood” of sentences and bridging of the “granularity difference” between target sentences and knowledge resources.

References

  1. Kanayama, H., Miyao, Y., Prager, J.: Answering Yes/No questions via question inversion. In: Proceedings of COLING (2012)Google Scholar
  2. Kaneiwa, K., Iwazume, M., Fukuda, K.: An upper ontology for event classifications and relations. In: Orgun, M.A., Thornton, J. (eds.) AI 2007. LNCS (LNAI), vol. 4830, pp. 394–403. Springer, Heidelberg (2007)Google Scholar
  3. Ide, N., Woolner, D.: Historical ontologies. In: Ahmad, K., Brewster, C., Stevenson, M. (eds.) Words and Intelligence II: Essays in Honor of YorickWilks, pp. 137–152. Springer, The Netherlands (2007)CrossRefGoogle Scholar
  4. Mizoguchi, R.: Theory and Practice of Ontology Engineering. Ohmsha, Tokyo (in Japanese)Google Scholar
  5. Ishikawa, T., Kitauchi, A., Shirotsuka, O.: Extraction of person information from historical materials for building historical ontology. J. Nat. Lang. Process. 15(4), 3–18 (2008). The Association for Natural Language Processing. (in Japanese)CrossRefGoogle Scholar
  6. Kauppinen, T., Hyvonen, E.: Modeling and reasoning about changes in ontology time series. In: Kishore, R., Sharman, R., Ramesh, R., et al. (eds.) Ontologies: A Handbook of Principles, Concepts and Applications in Information Systems, pp. 319–338. Springer, New York (2007)CrossRefGoogle Scholar
  7. Miyao, Y., Shima, H., Kanayama, H., Mitamura, T.: Evaluating textual entailment recognition for university entrance examinations. ACM Trans. Asian Lang. Inf. Process. 11(4), 13 (2012)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Ai Kawazoe
    • 1
  • Yusuke Miyao
    • 1
  • Takuya Matsuzaki
    • 1
  • Hikaru Yokono
    • 1
  • Noriko Arai
    • 1
  1. 1.National Institute of InformaticsChiyoda-ku, TokyoJapan

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